AI Governance Professional Training

This course guides AI-literate professionals through OECD AI Principles, the EU AI Act, NIST’s Risk Management Framework, and ISO/IEC 42001. 
Start date

24.06.2026

Wednesdays: 16:00 - 20:00
Format

Instructor-led online training

Certificate

Certified AI Governance Professional

Duration

28 hours of live classes

7 weeks program

Ideal candidate profiles

The course is designed for governance & compliance leaders translating AI regulations into day-to-day controls, technical ML practitioners embedding trust-and-safety into their pipelines, and product/strategy owners balancing innovation with responsible-AI oversight.

Governance & Compliance Leaders

risk, GRC or legal pros who must turn the EU AI Act and ISO 42001 into day-to-day controls and need the course’s ready-made gap-analysis, DPIA and AMS templates.

Technical AI / ML Practitioners 

data-scientists and ML engineers eager to hard-wire trust-and-safety by learning red-teaming, bias metrics and governance-as-code workflows provided in the hands-on labs.

Product & Strategy Owners

PMs and C-suite sponsors who balance revenue with responsible AI, value decision-ready artefacts for board briefings, and gain a common language to align tech and legal teams. 

Highlights of the training

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1. Interpret

key AI governance frameworks (OECD Principles, EU AI Act, NIST RMF, ISO/IEC 42001) and map their requirements to specific organizational contexts.

4. Implement

core governance tools and methods, such as risk registers, RACI matrices, red-team testing, and fairness dashboards, to apply governance practices across the AI lifecycle.

2. Assess

real-world AI systems by conducting bias and transparency evaluations, data-quality audits, and risk-mapping exercises.

3. Design

practical governance artifacts aligned with each framework’s clauses.

5. Collaborate

effectively in cross-functional teams through stakeholder workshops and simulations to negotiate trade-offs and finalize governance decisions.

6. Monitor

AI performance and support compliance through fairness dashboards, red-team test results, and structured documentation of governance activities.

Meet your future lecturers

Kaiti Huang

Information Security & Data Privacy Leader AT IKEA Group
Kaiti is the Information Security & Data Privacy Leader at Inter IKEA Group, where she leads global efforts in AI governance and IT regulatory risk management across complex digital ecosystems. 

Farah Lalani

Senior Manager, Trust and Safety at Amazon
Farah Lalani is an international expert in online safety and AI governance with over 13 years of experience across leading organizations like Amazon, the World Economic Forum, and Accenture. She led high-impact programs in Trust & Safety, developed global digital safety frameworks, and played a key role in shaping policy for responsible technology and content moderation.

Have questions? Let's talk!

If you are unsure whether this training and course fits your experience or goals, let's talk. I am happy to walk you through the details and help you make the right decision for your future.
Nour Aleid
Education Advisor